821 resultados para event sequences


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Il progetto Eye-Trauma si colloca all'interno dello sviluppo di un simulatore chirurgico per traumi alla zona oculare, sviluppato in collaborazione con Simulation Group in Boston, Harvard Medical School e Massachusetts General Hospital. Il simulatore presenta un busto in silicone fornito di moduli intercambiabili della zona oculare, per simulare diversi tipi di trauma. L'utilizzatore è chiamato ad eseguire la procedura medica di saturazione tramite degli strumenti chirurgici su cui sono installati dei sensori di forza e di apertura. I dati collezionati vengono utilizzati all'interno del software per il riconoscimento dei gesti e il controllo real-time della performance. L'algoritmo di gesture recognition, da me sviluppato, si basa sul concetto di macchine a stati; la transizione tra gli stati avviene in base agli eventi rilevati dal simulatore.

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Top1-DNA cleavage complexes (Top1ccs) trigger an accumulation of antisense RNAPII transcripts specifically at active divergent CpG-island promoters in a replication independent and Top1 dependent manner, leading to transcription-dependent genome instability and altered transcription regulation. Using different cancer cell lines of colon and osteo origins, we show that they display different sensitivity to CPT and G4 binder that is independent from Top1 level. To look at the interactions between Top1 and G4, we show that co-treatment with G4 binders potentiate the cell cytotoxicity of CPT regardless of the treatment sequences. Potentiation is indicated by a reduced inhibition concentration (IC50) with a more profound cytotoxicity in CPT-resistant cell lines, HCT15 and U2OS, hence, indicating an interaction between Top1inhibitor and G4 binders. Moreover, computational analysis confirmed the present of G4 motifs in genes with CPT-induced antisense transcription. G4 motifs are present mostly 5000 bp upstream from transcription start site and notably lower in genes. Comparisons between genes with no antisense transcription and genes with antisense transcription show that G4 motifs in this region are notably lower in the genes with antisense transcripts. Since CPT increases negative supercoils at promoters of intermediate activity, the formation of G4 is also increased in CPT-treated cells. Suprisingly, formation of G4 is regulated in parallel to the transient stabilization of R-loops, indicating a role in response to CPT-induced stress. G4 formation is highly elevated in Pyridostatin treated cells, which previous study shows increased formation of γH2Ax foci. This effect is also seen in the CPT-resistant cell lines, HCT15, indicating that the formation is a general event in response to CPT. We also show that R-loop formation is greatly increased in Pyridostatin treated cells. In order to study the role of R-loops and G4 structures in Top1cc-dependant repair pathway, we inhibited tyrosyl-phosphodiestrase 1 (TDP-1) using a TDP-1 inhibitor.

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Data sets describing the state of the earth's atmosphere are of great importance in the atmospheric sciences. Over the last decades, the quality and sheer amount of the available data increased significantly, resulting in a rising demand for new tools capable of handling and analysing these large, multidimensional sets of atmospheric data. The interdisciplinary work presented in this thesis covers the development and the application of practical software tools and efficient algorithms from the field of computer science, aiming at the goal of enabling atmospheric scientists to analyse and to gain new insights from these large data sets. For this purpose, our tools combine novel techniques with well-established methods from different areas such as scientific visualization and data segmentation. In this thesis, three practical tools are presented. Two of these tools are software systems (Insight and IWAL) for different types of processing and interactive visualization of data, the third tool is an efficient algorithm for data segmentation implemented as part of Insight.Insight is a toolkit for the interactive, three-dimensional visualization and processing of large sets of atmospheric data, originally developed as a testing environment for the novel segmentation algorithm. It provides a dynamic system for combining at runtime data from different sources, a variety of different data processing algorithms, and several visualization techniques. Its modular architecture and flexible scripting support led to additional applications of the software, from which two examples are presented: the usage of Insight as a WMS (web map service) server, and the automatic production of a sequence of images for the visualization of cyclone simulations. The core application of Insight is the provision of the novel segmentation algorithm for the efficient detection and tracking of 3D features in large sets of atmospheric data, as well as for the precise localization of the occurring genesis, lysis, merging and splitting events. Data segmentation usually leads to a significant reduction of the size of the considered data. This enables a practical visualization of the data, statistical analyses of the features and their events, and the manual or automatic detection of interesting situations for subsequent detailed investigation. The concepts of the novel algorithm, its technical realization, and several extensions for avoiding under- and over-segmentation are discussed. As example applications, this thesis covers the setup and the results of the segmentation of upper-tropospheric jet streams and cyclones as full 3D objects. Finally, IWAL is presented, which is a web application for providing an easy interactive access to meteorological data visualizations, primarily aimed at students. As a web application, the needs to retrieve all input data sets and to install and handle complex visualization tools on a local machine are avoided. The main challenge in the provision of customizable visualizations to large numbers of simultaneous users was to find an acceptable trade-off between the available visualization options and the performance of the application. Besides the implementational details, benchmarks and the results of a user survey are presented.

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Questa tesi si inserisce nell'ambito delle analisi statistiche e dei metodi stocastici applicati all'analisi delle sequenze di DNA. Nello specifico il nostro lavoro è incentrato sullo studio del dinucleotide CG (CpG) all'interno del genoma umano, che si trova raggruppato in zone specifiche denominate CpG islands. Queste sono legate alla metilazione del DNA, un processo che riveste un ruolo fondamentale nella regolazione genica. La prima parte dello studio è dedicata a una caratterizzazione globale del contenuto e della distribuzione dei 16 diversi dinucleotidi all'interno del genoma umano: in particolare viene studiata la distribuzione delle distanze tra occorrenze successive dello stesso dinucleotide lungo la sequenza. I risultati vengono confrontati con diversi modelli nulli: sequenze random generate con catene di Markov di ordine zero (basate sulle frequenze relative dei nucleotidi) e uno (basate sulle probabilità di transizione tra diversi nucleotidi) e la distribuzione geometrica per le distanze. Da questa analisi le proprietà caratteristiche del dinucleotide CpG emergono chiaramente, sia dal confronto con gli altri dinucleotidi che con i modelli random. A seguito di questa prima parte abbiamo scelto di concentrare le successive analisi in zone di interesse biologico, studiando l’abbondanza e la distribuzione di CpG al loro interno (CpG islands, promotori e Lamina Associated Domains). Nei primi due casi si osserva un forte arricchimento nel contenuto di CpG, e la distribuzione delle distanze è spostata verso valori inferiori, indicando che questo dinucleotide è clusterizzato. All’interno delle LADs si trovano mediamente meno CpG e questi presentano distanze maggiori. Infine abbiamo adottato una rappresentazione a random walk del DNA, costruita in base al posizionamento dei dinucleotidi: il walk ottenuto presenta caratteristiche drasticamente diverse all’interno e all’esterno di zone annotate come CpG island. Riteniamo pertanto che metodi basati su questo approccio potrebbero essere sfruttati per migliorare l’individuazione di queste aree di interesse nel genoma umano e di altri organismi.

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In this thesis, the main Executive Control theories are exposed. Methods typical of Cognitive and Computational Neuroscience are introduced and the role of behavioural tasks involving conflict resolution in the response elaboration, after the presentation of a stimulus to the subject, are highlighted. In particular, the Eriksen Flanker Task and its variants are discussed. Behavioural data, from scientific literature, are illustrated in terms of response times and error rates. During experimental behavioural tasks, EEG is registered simultaneously. Thanks to this, event related potential, related with the current task, can be studied. Different theories regarding relevant event related potential in this field - such as N2, fERN (feedback Error Related Negativity) and ERN (Error Related Negativity) – are introduced. The aim of this thesis is to understand and simulate processes regarding Executive Control, including performance improvement, error detection mechanisms, post error adjustments and the role of selective attention, with the help of an original neural network model. The network described here has been built with the purpose to simulate behavioural results of a four choice Eriksen Flanker Task. Model results show that the neural network can simulate response times, error rates and event related potentials quite well. Finally, results are compared with behavioural data and discussed in light of the mentioned Executive Control theories. Future perspective for this new model are outlined.

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The presence of damaged nucleobases in DNA can negatively influence transcription of genes. One of the mechanisms by which DNA damage interferes with reading of genetic information is a direct blockage of the elongating RNA polymerase complexes – an effect well described for bulky adducts induced by several chemical substances and UV-irradiation. However, other mechanisms must exist as well because many of the endogenously occurring non-bulky DNA base modifications have transcription-inhibitory properties in cells, whilstrnnot constituting a roadblock for RNA polymerases under cell free conditions. The inhibition of transcription by non-blocking DNA damage was investigated in this work by employing the reporter gene-based assays. Comparison between various types of DNA damage (UV-induced pyrimidine photoproducts, oxidative purine modifications induced by photosensitisation, defined synthetic modified bases such as 8-oxoguanine and uracil, and sequence-specific single-strand breaks) showed that distinct mechanisms of inhibition of transcription can be engaged, and that DNA repair can influence transcription of the affectedrngenes in several different ways.rnQuantitative expression analyses of reporter genes damaged either by the exposure of cells to UV or delivered into cells by transient transfection supported the earlier evidence that transcription arrest at the damage sites is the major mechanism for the inhibition of transcription by this kind of DNA lesions and that recovery of transcription requires a functional nucleotide excision repair gene Csb (ERCC6) in mouse cells. In contrast, oxidisedrnpurines generated by photosensitisation do not cause transcriptional blockage by a direct mechanism, but rather lead to transcriptional repression of the damaged gene which is associated with altered histone acetylation in the promoter region. The whole chain of events leading to transcriptional silencing in response to DNA damage remains to be uncovered. Yet, the data presented here identify repair-induced single-strand breaks – which arise from excision of damaged bases by the DNA repair glycosylases or endonucleases – as arnputative initiatory factor in this process. Such an indirect mechanism was supported by requirement of the 8-oxoguanine DNA glycosylase (OGG1) for the inhibition of transcription by synthetic 8-oxodG incorporated into a reporter gene and by the delays observed for the inhibition of transcription caused by structurally unrelated base modifications (8-oxoguanine and uracil). It is thereby hypothesized that excision of the modified bases could be a generalrnmechanism for inhibition of transcription by DNA damage which is processed by the base excision repair (BER) pathway. Further gene expression analyses of plasmids containing single-strand breaks or abasic sites in the transcribed sequences revealed strong transcription inhibitory potentials of these lesions, in agreement with the presumption that BER intermediates are largely responsible for the observed effects. Experiments with synthetic base modifications positioned within the defined DNA sequences showed thatrninhibition of transcription did not require the localisation of the lesion in the transcribed DNA strand; therefore the damage sensing mechanism has to be different from the direct encounters of transcribing RNA polymerase complexes with DNA damage.rnAltogether, this work provides new evidence that processing of various DNA basernmodifications by BER can perturb transcription of damaged genes by triggering a gene silencing mechanism. As gene expression can be influenced even by a single DNA damage event, this mechanism could have relevance for the endogenous DNA damage induced in cells under normal physiological conditions, with a possible link to gene silencing in general.

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Quando si parla di architetture di controllo in ambito Web, il Modello ad Eventi è indubbiamente quello più diffuso e adottato. L’asincronicità e l’elevata interazione con l’utente sono caratteristiche tipiche delle Web Applications, ed un architettura ad eventi, grazie all’adozione del suo tipico ciclo di controllo chiamato Event Loop, fornisce un'astrazione semplice ma sufficientemente espressiva per soddisfare tali requisiti. La crescita di Internet e delle tecnologie ad esso associate, assieme alle recenti conquiste in ambito di CPU multi-core, ha fornito terreno fertile per lo sviluppo di Web Applications sempre più complesse. Questo aumento di complessità ha portato però alla luce alcuni limiti del modello ad eventi, ancora oggi non del tutto risolti. Con questo lavoro si intende proporre un differente approccio a questa tipologia di problemi, che superi i limiti riscontrati nel modello ad eventi proponendo un architettura diversa, nata in ambito di IA ma che sta guadagno popolarità anche nel general-purpose: il Modello ad Agenti. Le architetture ad agenti adottano un ciclo di controllo simile all’Event Loop del modello ad eventi, ma con alcune profonde differenze: il Control Loop. Lo scopo di questa tesi sarà dunque approfondire le due tipologie di architetture evidenziandone le differenze, mostrando cosa significa affrontare un progetto e lo sviluppo di una Web Applications avendo tecnologie diverse con differenti cicli di controllo, mettendo in luce pregi e difetti dei due approcci.

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In this thesis we present techniques that can be used to speed up the calculation of perturbative matrix elements for observables with many legs ($n = 3, 4, 5, 6, 7, ldots$). We investigate several ways to achieve this, including the use of Monte Carlo methods, the leading-color approximation, numerically less precise but faster operations, and SSE-vectorization. An important idea is the use of enquote{random polarizations} for which we derive subtraction terms for the real corrections in next-to-leading order calculations. We present the effectiveness of all these methods in the context of electron-positron scattering to $n$ jets, $n$ ranging from two to seven.

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Die Quantenchromodynamik ist die zugrundeliegende Theorie der starken Wechselwirkung und kann in zwei Bereiche aufgeteilt werden. Harte Streuprozesse, wie zum Beispiel die Zwei-Jet-Produktion bei hohen invarianten Massen, können störungstheoretisch behandelt und berechnet werden. Bei Streuprozessen mit niedrigen Impulsüberträgen hingegen ist die Störungstheorie nicht mehr anwendbar und phänemenologische Modelle werden für Vorhersagen benutzt. Das ATLAS Experiment am Large Hadron Collider am CERN ermöglicht es, QCD Prozesse bei hohen sowie niedrigen Impulsüberträgen zu untersuchen. In dieser Arbeit werden zwei Analysen vorgestellt, die jeweils ihren Schwerpunkt auf einen der beiden Regime der QCD legen:rnDie Messung von Ereignisformvariablen bei inelastischen Proton--Proton Ereignissen bei einer Schwerpunktsenergie von $sqrt{s} = unit{7}{TeV}$ misst den transversalen Energiefluss in hadronischen Ereignissen. rnDie Messung des zweifachdifferentiellen Zwei-Jet-Wirkungsquerschnittes als Funktion der invarianten Masse sowie der Rapiditätsdifferenz der beiden Jets mit den höchsten Transversalimpulsen kann genutzt werden um Theorievorhersagen zu überprüfen. Proton--Proton Kollisionen bei $sqrt{s} = unit{8}{TeV}$, welche während der Datennahme im Jahr 2012 aufgezeichnet wurden, entsprechend einer integrierten Luminosität von $unit{20.3}{fb^{-1}}$, wurden analysiert.rn

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La tesi si concentra sull’infrastruttura di coordinazione TuCSoN on Android, realizzando il refactoring del servizio di geolocalizzazione platform-independent (lato infrastruttura) e platform-dependent (lato mobile device), nonché l’integrazione del modello event-driven con la proprietà di situatedness.

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Psychological distress, particularly anxiety and depression, has been associated with a prothrombotic state. However, the relationship between psychosocial factors and endogenous anticoagulants protein S (PS) and protein C (PC) has not previously been investigated. We explored the association between psychological distress, PS, and PC in patients with an objectively diagnosed venous thromboembolic event (VTE).